PPT-Error statistics in data assimilation

Ross Bannister NCEO University of Reading UK rnbannisterreadingacuk All models are wrong George Box All models are wrong and all observations are inaccurate a data assimilator. 1. Min-Jeong Kim. JCSDA 9th Workshop on Satellite Data Assimilation, May 24-25, 2011, M-J. Kim. 2. Fuzhong Weng, . 3. Emily Liu, . 4. Will McCarty, . 3. Yanqiu Zhu, . 3. John Derber, and . 3. Andrew Collard. Science Advisory Committee Meeting. 26 – 28 August, 2014. National Space Science and Technology Center, Huntsville, AL. Introduction. SPoRT assimilates AIRS, CrIS, and IASI profiles into regional models to demonstrate their impact on NWP and address specific forecast issues. P. Lewis. What is Data Assimilation?. Optimal merging of models and data. Models. Expression of current understanding about process. E.g. terrestrial C model. Data. Observations. E.g. EO. . Some basic stats. 1. * and C. Draper. 1,2. With contributions from:. . G. De Lannoy, R. de Jeu, Q. Liu, V. Naeimi, R. Parinussa, W. Wagner. AMSR-E Technical Interchange Meeting. Oxnard, CA. Sep 4-5, 2013. Soil moisture retrievals from . data assimilation. and forecast error statistics. Ross Bannister, 11. th. July 2011. University of Reading, r.n.bannister@reading.ac.uk. “All models are wrong …” . (George Box). “All models are wrong and all observations are inaccurate”. Andrew Collard, Daryl . Keist. , David Parrish, Ed Safford, Emily Liu, Manuel . Pondeca. , . Miodrag. . Rancic. , Lidia . Cucurull. , . Haixia. Liu, . XiuJuan. Su, Shun Liu, Wan-. Shu. Wu, Paul van . the Upper Troposphere - Lower Stratosphere. K. . Wargan, . S. . Pawson. , . M. . Olsen, . J. . Witte, . A. . Douglass. Global Modeling and Assimilation Office (GMAO). Chemistry and Dynamics Branch. NASA GSFC. Benjamin Ruston. Steve Swadley, Nancy Baker, . Rolf . Langland. NRL, . Monterey, . CA. Outline. Gather information about instrument: . What are previous sensors or instruments, how have they been used?. Yudong. Gao. 1 observational data analysis. Pictures are from P. W. Chan et al. (2014). Left figure is the reconnaissance data from 9:06 to 9:59 UTC, which is thinning at 3km. . data from 12:00 to 12:12 UTC. The direction of wind was changing as the flight direction.. Kevin Garrett. 1,2,3. , Sid Boukabara. 1,2. , . and Erin Jones. 1,2,3. 1. NOAA/NESDIS/STAR. 2. Joint Center for Satellite Data Assimilation. 3.. Riverside Technology, Inc.. Preparation for GPM GMI . June 5-7, 2013, NCWCP, College Park, MD. Utility of . GOES. -R . ABI . and GLM instruments in . regional . data assimilation . for . high-. impact weather. Milija Zupanski. Cooperative . Institute for Research in the Atmosphere. In this class we will review . how statistics are used to . summarize data, special probability distributions, . their . use in simple applications using Frequentist and Bayesian . methods, and Monte Carlo techniques. Jeremy Berman. University at Albany. Thursday 03 May 2018. ATM 419/563. Outline. Data Assimilation (DA). At the end, you should know:. What is it?. How it works?. Why is it important?. Basic DA techniques. Workshop. Evaluating a Satellite in Assimilation. Benjamin Ruston. Steve Swadley, Nancy Baker, . Rolf . Langland, Bill Campbell and Elizabeth Satterfield. NRL, . Monterey, . CA. | . 2. U.S. Naval Research Laboratory.